Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly AI agents that connect over MCP and privacy-sensitive setups — source available on GitHub.
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Catalogue record
github.com
shield
🦀 🏠 🍎 🪟 🐧 - Local guardrail proxy for AI coding agents. Wraps any MCP server (stdio or Streamable HTTP) and blocks destructive tool calls —...
Checked Oct 27, 2026Evidence completeness: evidenceREADME refreshed Oct 25, 2026Repo activity Oct 4, 2026
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🦀 🏠 🍎 🪟 🐧 - Local guardrail proxy for AI coding agents. Wraps any MCP server (stdio or Streamable HTTP) and blocks destructive tool calls — DROP TABLE, rm -rf, force-push — before they execute. MCP supply-chain protection: TOFU tool-catalog pinning against rug pulls, plus tool-description and tool-result scanning for tool poisoning and prompt injection. 51 starter rules, approval gates, audit logging. Single binary, Apache-2.0.
Best for
Teams evaluating AI models, assistants and generative workflows, particularly AI agents that connect over MCP and privacy-sensitive setups — source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
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Evidence summary
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
aperion-shield — local MCP guardrail for AI coding agents
GitHub / AperionAI/shield
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- Listed in active catalogue
- Freshness
- Catalogue updated Oct 27, 2026
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- GitHub-backed record
- Repository context
- GitHub activity reported Oct 4, 202611 stars
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